Titlebook: Dynamic Resource Management in Service-Oriented Core Networks; Weihua Zhuang,Kaige Qu Book 2021 The Editor(s) (if applicable) and The Auth

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Book 2021eyond core networks. This includes the perspective of developing efficient computation resource provisioning and scheduling solutions to guarantee consistent service performance in terms of end-to-end (E2E) data delivery delay.?.Network slicing is enabled by the software defined networking (SDN) and

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Zum Gang der geleisteten Textforschunglution. Numerical results are presented to demonstrate the aforementioned trade-off between load balancing and migration cost in different settings, compare the E2E delay performance with and without flow migration, and evaluate the effectiveness and efficiency of the heuristic solution.

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Julieta Armella,Sofía Dafunchion results demonstrate an . utility-backlog trade-off with utility importance parameter .. The delay-aware VNF scheduling algorithm using a realistic time quantum achieves a comparable performance with a generalized processor sharing (GPS) scheme under the assumption of infinitely divisible resources.

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Dynamic VNF Scheduling for Network Utility Maximization,n results demonstrate an . utility-backlog trade-off with utility importance parameter .. The delay-aware VNF scheduling algorithm using a realistic time quantum achieves a comparable performance with a generalized processor sharing (GPS) scheme under the assumption of infinitely divisible resources.

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Dynamic Flow Migration: A Model-Based Optimization Approach,-varying traffic. To address the trade-off between load balancing and migration cost in flow migration, a multi-objective mixed integer optimization problem is formulated. An optimal MIQCP solution with MIQCP problem transformation and optimum mapping provides an optimal solution to the optimization

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Dynamic VNF Scheduling for Network Utility Maximization,ization with QoS guarantee for each deadline-constrained service. A . time quantum in the 100 μs to . granularity is used for CPU resource scheduling. Based on the Lyapunov optimization technique, an online distributed VNF scheduling algorithm is derived, which greedily schedules a VNF at each NFV n

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